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Robust Learning

72 papers

Papers per year

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Papers

ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks CVPR 2021
Instance-adaptive training with noise-robust losses against noisy labels EMNLP 2021
Consistent regression when oblivious outliers overwhelm ICML 2021
Outlier-Robust Optimal Transport ICML 2021
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning NIPS 2020
List-Decodable Mean Estimation via Iterative Multi-Filtering NIPS 2020
On Learning Ising Models under Huber's Contamination Model NIPS 2020
Learning Robust Decision Policies from Observational Data NIPS 2020
Reinforcement Learning with Perturbed Rewards AAAI 2020
Learning Robust Models for e-Commerce Product Search ACL 2020
Distilling Effective Supervision From Severe Label Noise CVPR 2020
List-decodable Linear Regression NIPS 2019
Learning from Bad Data via Generation NIPS 2019
Learning and the Unknown: Surveying Steps toward Open World Recognition AAAI 2019
Do Outliers Ruin Collaboration? ICML 2018
Robust Estimation of Neural Signals in Calcium Imaging NIPS 2017
Trimmed Density Ratio Estimation NIPS 2017
Robust Logistic Regression and Classification NIPS 2014
Learning with Noisy Labels NIPS 2013
Transelliptical Component Analysis NIPS 2012
Robust PCA via Outlier Pursuit NIPS 2010
Robust Regression with Twinned Gaussian Processes NIPS 2007